Estimating Causal Effects of Exercise from Mood Logging Data

TitleEstimating Causal Effects of Exercise from Mood Logging Data
Publication TypeConference Paper
Year of Publication2018
AuthorsSridhar, D, Springer, A, Hollis, V, Whittaker, S, Getoor, L
Conference NameICML Workshop on Causal Machine Learning (CausalML)

Mood and activity logging applications empower users to monitor their daily well-being and make informed health choices. To provide users with useful feedback that can improve quality of life, a critical task is understanding the causal effects of daily activities on mood and other wellness markers. In this work, we analyze observational data from EmotiCal, a recently developed mood-logging web application, to explore the effects of exercise on mood. We investigate several methodological choices for estimating the conditional average treatment effect, and highlight a novel use of textual data to improve the significance of our results.